Agent skill

NTFS MFT Deleted File Recovery

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.

Apache-2.0Auto-check passedSecurity

Install NTFS MFT Deleted File Recovery

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-mft-for-deleted-file-recovery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-mft-for-deleted-file-recovery .claude/skills/analyzing-mft-for-deleted-file-recovery && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyzing-mft-for-deleted-file-recovery
GitHub stars
34k
Token cost
~2.7k tokens
SKILL.md length
599 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.

  • Investigating whether a deleted file once existed on a Windows NTFS volume
  • SKILL.md covers Overview, When to Use, Prerequisites and MFT Structure and Record Layout, plus 5 more sections
  • Runs Python scripts from its folder
  • Building a file-system timeline from MFT entries during an incident

What it does

The NTFS Master File Table holds at least one 1024-byte record per file and directory. Deleting a file only clears the record's InUse flag, so the metadata stays until the entry is reused, which is what makes it useful as evidence. The skill explains the record header layout, with its FILE signature, offsets and flags, and the key attributes such as $STANDARD_INFORMATION, $FILE_NAME, $OBJECT_ID and $SECURITY_DESCRIPTOR.

Analysis uses MFTECmd, analyzeMFT and X-Ways Forensics, and extends to $LogFile, $UsnJrnl and MFT slack space. Prerequisites listed are a forensic disk image in E01, raw/dd, VMDK or VHDX format, an image mounter such as FTK Imager or Arsenal Image Mounter, Timeline Explorer or Excel for CSV output, and Python 3.8 or later for custom scripts. The folder bundles `agent.py` and `process.py`, reference notes on workflows and standards, and a report template.

When your agent uses it

  • Investigating whether a deleted file once existed on a Windows NTFS volume
  • Building a file-system timeline from MFT entries during an incident
  • Checking a Windows disk image for signs of timestomping

Example prompts

  • “Parse the $MFT from evidence/laptop.vmdk with MFTECmd and list records that are no longer in use.”
  • “Reconstruct a file-system timeline from the MFT and the $UsnJrnl on this image.”
  • “Check this MFT export for timestomped files and summarize what you find.”

Requirements

  • A forensic disk image (E01, raw/dd, VMDK or VHDX)
  • MFTECmd or analyzeMFT
  • Python 3.8 or later

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • deaddisk.com
    • sygnia.co
    • ericzimmerman.github.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

NTFS MFT Deleted File Recovery loads about 2.7k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 599 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 599 words, ~2,659 tokens.

Download SKILL.mdSave it as .claude/skills/analyzing-mft-for-deleted-file-recovery/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
analyzing-mft-for-deleted-file-recovery
description
Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT, and X-Ways Forensics to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space. Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination.
domain
cybersecurity
subdomain
digital-forensics
tags
mft, ntfs, deleted-files, file-recovery, mftecmd, usn-journal, logfile, mft-slack-space, file-system-forensics, dfir
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
RS.AN-03, DE.AE-02, RS.MA-01
mitre_attack
T1070.004, T1070.006, T1005

Analyzing MFT for Deleted File Recovery

Overview

The NTFS Master File Table ($MFT) is the central metadata repository for every file and directory on an NTFS volume. Each file is represented by at least one 1024-byte MFT record containing attributes such as $STANDARD_INFORMATION (timestamps, permissions), $FILE_NAME (name, parent directory, timestamps), and $DATA (file content or cluster run pointers). When a file is deleted, its MFT record is marked as inactive (InUse flag cleared) but the metadata remains until the entry is reallocated by a new file. This persistence makes MFT analysis a primary technique for recovering deleted file evidence, reconstructing file system timelines, and detecting anti-forensic activity such as timestomping.

When to Use

  • When investigating security incidents that require analyzing mft for deleted file recovery
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Forensic disk image (E01, raw/dd, VMDK, or VHDX format)
  • MFTECmd (Eric Zimmerman) or analyzeMFT (Python-based)
  • FTK Imager, Arsenal Image Mounter, or similar for image mounting
  • Timeline Explorer or Excel for CSV analysis
  • Python 3.8+ for custom analysis scripts
  • Understanding of NTFS file system internals

MFT Structure and Record Layout

MFT Record Header

Each MFT record begins with the signature "FILE" (0x46494C45) and contains:

OffsetSizeField
0x004 bytesSignature ("FILE")
0x042 bytesOffset to update sequence
0x062 bytesSize of update sequence
0x088 bytes$LogFile sequence number
0x102 bytesSequence number
0x122 bytesHard link count
0x142 bytesOffset to first attribute
0x162 bytesFlags (0x01 = InUse, 0x02 = Directory)
0x184 bytesUsed size of MFT record
0x1C4 bytesAllocated size of MFT record
0x208 bytesBase file record reference
0x282 bytesNext attribute ID
Key MFT Attributes
Type IDNameDescription
0x10$STANDARD_INFORMATIONTimestamps, flags, owner ID, security ID
0x30$FILE_NAMEFilename, parent MFT reference, timestamps
0x40$OBJECT_IDUnique GUID for the file
0x50$SECURITY_DESCRIPTORACL permissions
0x60$VOLUME_NAMEVolume label (volume metadata files only)
0x80$DATAFile content (resident if <700 bytes) or cluster run list
0x90$INDEX_ROOTB-tree index root for directories
0xA0$INDEX_ALLOCATIONB-tree index entries for large directories
0xB0$BITMAPAllocation bitmap for index or MFT
Show full SKILL.md (221 more words)Show less

Deleted File Recovery Techniques

Technique 1: MFT Record Analysis with MFTECmd
powershell
# Extract $MFT from forensic image using KAPE or FTK Imager
# Parse the $MFT with MFTECmd
MFTECmd.exe -f "C:\Evidence\$MFT" --csv C:\Output --csvf mft_full.csv

# Filter for deleted files (InUse = FALSE) in Timeline Explorer
# Look for entries where InUse column is False

Identifying Deleted Files in CSV Output:

  • InUse = False indicates a deleted or reallocated record
  • ParentPath shows original file location before deletion
  • FileSize shows the original size (may still be recoverable)
  • Timestamps in $STANDARD_INFORMATION and $FILE_NAME attributes persist
Technique 2: USN Journal ($UsnJrnl:$J) Analysis

The USN Journal records all changes to files on an NTFS volume, including creation, deletion, rename, and data modification events.

powershell
# Parse USN Journal with MFTECmd
MFTECmd.exe -f "C:\Evidence\$J" --csv C:\Output --csvf usn_journal.csv

# Key USN reason codes for deletion evidence:
# USN_REASON_FILE_DELETE     = 0x00000200
# USN_REASON_CLOSE           = 0x80000000
# USN_REASON_RENAME_OLD_NAME = 0x00001000
# USN_REASON_RENAME_NEW_NAME = 0x00002000
Technique 3: $LogFile Transaction Analysis

The $LogFile stores NTFS transaction records that can reveal file operations even after the USN Journal has been cycled.

powershell
# Parse $LogFile with LogFileParser
LogFileParser.exe -l "C:\Evidence\$LogFile" -o C:\Output

# Look for REDO and UNDO operations indicating file deletion:
# - DeallocateFileRecordSegment
# - DeleteAttribute
# - UpdateResidentValue (clearing InUse flag)
Technique 4: MFT Slack Space Analysis

MFT slack space exists between the end of the used portion of an MFT record and the end of the allocated 1024 bytes. This area may contain remnants of previous file records.

python
import struct

def parse_mft_slack(mft_path: str, output_path: str):
    """Extract and analyze MFT slack space for deleted file remnants."""
    with open(mft_path, "rb") as f:
        record_size = 1024
        record_num = 0
        slack_findings = []

        while True:
            record = f.read(record_size)
            if len(record) < record_size:
                break

            # Verify FILE signature
            if record[:4] != b"FILE":
                record_num += 1
                continue

            # Get used size from offset 0x18
            used_size = struct.unpack("<I", record[0x18:0x1C])[0]

            if used_size < record_size:
                slack = record[used_size:]
                # Check if slack contains readable strings or attribute headers
                if any(c > 0x20 and c < 0x7F for c in slack[:50]):
                    slack_findings.append({
                        "record": record_num,
                        "used_size": used_size,
                        "slack_size": record_size - used_size,
                        "slack_preview": slack[:100].hex()
                    })

            record_num += 1

    return slack_findings

Correlation with Supporting Artifacts

Cross-Reference MFT with $Recycle.Bin
powershell
# Parse Recycle Bin with RBCmd
RBCmd.exe -d "C:\Evidence\$Recycle.Bin" --csv C:\Output --csvf recycle_bin.csv

# Correlate: $I files contain original path and deletion timestamp
# Match MFT entry numbers from $R files back to original MFT records
Cross-Reference MFT with Volume Shadow Copies
powershell
# List volume shadow copies
vssadmin list shadows

# Mount shadow copies and extract $MFT from each
# Compare MFT records across shadow copies to track file changes over time

Forensic Value

  • Deleted file metadata recovery: Original filename, path, size, and timestamps
  • Timeline reconstruction: File creation, modification, access, and deletion events
  • Timestomping detection: Comparing $SI vs $FN timestamps
  • Data carving guidance: MFT cluster runs point to file content on disk
  • Anti-forensic detection: Identifying wiped or manipulated MFT records

References

Example Output

text
$ MFTECmd.exe -f "C:\Evidence\$MFT" --csv /analysis/mft_output

MFTECmd v1.2.2 - MFT Parser
==============================
Input: C:\Evidence\$MFT (Size: 384 MB)
Total MFT Entries: 395,264

Parsing MFT entries... Done (12.4 seconds)

--- Deleted File Recovery Summary ---
Total Entries:          395,264
Active Files:           245,832
Deleted Files:          149,432
  Recoverable:          87,234 (resident data or clusters not reallocated)
  Partially Recoverable: 31,456 (some clusters overwritten)
  Unrecoverable:        30,742 (all clusters reallocated)

--- Recently Deleted Files (Incident Window: 2024-01-15 to 2024-01-18) ---
MFT Entry | Filename                          | Path                               | Size      | Deleted (UTC)         | Recoverable
----------|-----------------------------------|------------------------------------|-----------|-----------------------|------------
148923    | exfil_tool.exe                    | C:\ProgramData\Updates\            | 1,258,496 | 2024-01-17 02:45:12   | YES
148924    | exfil_tool.log                    | C:\ProgramData\Updates\            | 45,312    | 2024-01-17 02:45:14   | YES
149001    | passwords.txt                     | C:\Users\jsmith\Desktop\           | 2,048     | 2024-01-17 02:50:33   | YES
149150    | scan_results.csv                  | C:\Users\jsmith\AppData\Local\Temp | 892,416   | 2024-01-17 03:00:01   | PARTIAL
149200    | mimikatz.exe                      | C:\Windows\Temp\                   | 1,250,816 | 2024-01-18 01:15:22   | YES
149201    | sekurlsa.log                      | C:\Windows\Temp\                   | 32,768    | 2024-01-18 01:15:25   | YES
149302    | .bash_history                     | C:\Users\jsmith\                   | 4,096     | 2024-01-18 03:00:00   | NO
149400    | ClearEventLogs.ps1                | C:\Windows\Temp\                   | 1,536     | 2024-01-18 03:01:12   | YES

--- $STANDARD_INFORMATION vs $FILE_NAME Timestamp Analysis (Timestomping Detection) ---
MFT Entry | Filename            | $SI Created          | $FN Created          | Delta     | Verdict
----------|---------------------|----------------------|----------------------|-----------|----------
148923    | exfil_tool.exe      | 2023-06-15 10:00:00  | 2024-01-15 14:34:02  | -214 days | TIMESTOMPED
149200    | mimikatz.exe        | 2022-01-01 00:00:00  | 2024-01-16 02:30:15  | -745 days | TIMESTOMPED

Recovered files exported to: /analysis/mft_output/recovered/
Full CSV report: /analysis/mft_output/mft_analysis.csv (395,264 rows)
Timeline CSV: /analysis/mft_output/mft_timeline.csv

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/analyzing-mft-for-deleted-file-recovery of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

NTFS MFT Deleted File Recovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

NTFS MFT Deleted File Recovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
NTFS MFT Deleted File Recovery this skillmukul975/Anthropic-Cybersecurity-Skills34k—~2.7kAutomated safety check: PassApache-2.0
Dfirtransilienceai/communitytools563—~1.5kAutomated safety check: PassMIT
TShark Traffic AnalysisAgentSecOps/SecOpsAgentKit2201 repos~4.8kAutomated safety check: NotesCustom licence
Forensics OsqueryAgentSecOps/SecOpsAgentKit2201 repos~4.9kAutomated safety check: NotesCustom licence
Ir VelociraptorAgentSecOps/SecOpsAgentKit2201 repos~3.1kAutomated safety check: PassCustom licence
Auditing Python Dependenciesjeremylongshore/tons-of-skills-marketplace2.8k—~2.3kAutomated safety check: NotesMIT

Similar skills

  • Dfir

    transilienceai/communitytools

    Digital forensics and incident response - Windows event log analysis, PCAP forensics, filesystem artifact analysis, AD attack detection, and timeline correlation.

    563 GitHub stars~1.5k tokensUpdated 2 mo ago
    SecurityAuto-check passed
  • TShark Traffic Analysis

    AgentSecOps/SecOpsAgentKit

    Guides authorized packet capture and analysis with TShark, Wireshark's command-line tool, for security investigations, malware detection and forensic examination of network traffic.

    220 GitHub starsUsed in 1 repo~4.8k tokens
    SecurityAuto-check: notes
  • Forensics Osquery

    AgentSecOps/SecOpsAgentKit

    SQL-powered forensic investigation and system interrogation using osquery to query operating systems as relational databases.

    220 GitHub starsUsed in 1 repo~4.9k tokens
    SecurityAuto-check: notes
  • Ir Velociraptor

    AgentSecOps/SecOpsAgentKit

    Endpoint visibility, digital forensics, and incident response using Velociraptor Query Language (VQL) for evidence collection and threat hunting at scale.

    220 GitHub starsUsed in 1 repo~3.1k tokens
    SecurityAuto-check passed
  • Auditing Python Dependencies

    jeremylongshore/tons-of-skills-marketplace

    Audit a Python project's installed dependencies for known CVEs by wrapping pip-audit (PyPA's official vulnerability auditor) and emitting findings in the canonical penetration-tester schema.

    2.8k GitHub stars~2.3k tokensUpdated yesterday
    SecurityAuto-check: notes
  • Log Evasion

    wgpsec/AboutSecurity

    日志分析与日志逃逸方法论。理解蓝队如何通过日志追踪攻击行为(SIEM/Event Log/Syslog),以及红队如何规避日志记录或精准清除痕迹。当需要设计无痕操作或分析日志监控覆盖范围时使用

    1.8k GitHub stars~1.2k tokensUpdated yesterday
    SecurityAuto-check passed

More from mukul975/Anthropic-Cybersecurity-Skills

All 644 skills in this repo
  • Campaign Attribution Evidence Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.

    34k GitHub stars~2.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Go Malware Analysis in Ghidra

    mukul975/Anthropic-Cybersecurity-Skills

    Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • LNK and Jump List Forensics

    mukul975/Anthropic-Cybersecurity-Skills

    Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.

    34k GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Malware Persistence Analysis with Autoruns

    mukul975/Anthropic-Cybersecurity-Skills

    Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.

    34k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Network Covert Channel Analysis

    mukul975/Anthropic-Cybersecurity-Skills

    Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.

    34k GitHub stars~2k tokensUpdated 1 mo ago
    Auto-check passed
  • ATT&CK Threat Actor Mapping

    mukul975/Anthropic-Cybersecurity-Skills

    Maps threat actor behavior and observed indicators to MITRE ATT&CK, builds Navigator coverage heatmaps, finds detection gaps and produces threat intelligence reports.

    34k GitHub stars~2.5k tokensUpdated 1 mo ago
    Auto-check passed

Works with

Categories

Questions about NTFS MFT Deleted File Recovery

What does NTFS MFT Deleted File Recovery do?

Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping. The NTFS Master File Table holds at least one 1024-byte record per file and directory. Deleting a file only clears the record's InUse flag, so the metadata stays until the entry is reused, which is what makes it useful as evidence.

When should I use NTFS MFT Deleted File Recovery?

NTFS MFT Deleted File Recovery fits situations like: investigating whether a deleted file once existed on a Windows NTFS volume; building a file-system timeline from MFT entries during an incident; checking a Windows disk image for signs of timestomping.

How do I install NTFS MFT Deleted File Recovery in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a claude-code`. Or copy the skill folder (skills/analyzing-mft-for-deleted-file-recovery in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-mft-for-deleted-file-recovery in your project. Claude Code loads it when a task matches its description.

How do I install NTFS MFT Deleted File Recovery in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a codex`. Or copy the skill folder (skills/analyzing-mft-for-deleted-file-recovery in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-mft-for-deleted-file-recovery in your project. Codex loads it when a task matches its description.

Can I use NTFS MFT Deleted File Recovery in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-mft-for-deleted-file-recovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-mft-for-deleted-file-recovery, .gemini/skills/analyzing-mft-for-deleted-file-recovery, .github/skills/analyzing-mft-for-deleted-file-recovery and .opencode/skills/analyzing-mft-for-deleted-file-recovery in your project.

What does NTFS MFT Deleted File Recovery need to run?

Going by SKILL.md and its folder, NTFS MFT Deleted File Recovery needs Python for the scripts in its folder. Our summary lists: A forensic disk image (E01, raw/dd, VMDK or VHDX); MFTECmd or analyzeMFT; Python 3.8 or later.

Does NTFS MFT Deleted File Recovery access the network?

SKILL.md names 3 domains. As links in the text: deaddisk.com, sygnia.co and ericzimmerman.github.io. This is read from the text; nothing was executed.

Is NTFS MFT Deleted File Recovery safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does NTFS MFT Deleted File Recovery use?

NTFS MFT Deleted File Recovery is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does NTFS MFT Deleted File Recovery use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 970 tokens, read only when the agent opens those files.

What are the alternatives to NTFS MFT Deleted File Recovery?

Skills that share tags, products or a category with NTFS MFT Deleted File Recovery: Dfir (transilienceai/communitytools, 563 stars), TShark Traffic Analysis (AgentSecOps/SecOpsAgentKit, 220 stars), Forensics Osquery (AgentSecOps/SecOpsAgentKit, 220 stars) and Ir Velociraptor (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains NTFS MFT Deleted File Recovery?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.